Automated Bug Severity Classification for Software Quality Assurance

An automated classifier that grades the severity of bug reports for software quality assurance.

An automated classifier that grades the severity of bug reports for software quality assurance. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to practise engineering discipline: requirements, design, implementation, automated testing and measuring software quality.

The main parts are a clear requirements and design document, the working implementation, automated tests with quality metrics, and a report on what the measurements show. The reference build uses Python, Git, Docker, and pytest, with a clear project structure, setup instructions and sample data so that it can be run and extended.